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Applied Psychological Measurement , 39 2 ,. Anchor selection strategies for DIF analysis:. Review, assessment, and new approaches.

Educational and Psychological Measurement , 75 1 ,. Psycho- analysis of benchmark experiments:. A formal framework for investigating the relationship between data sets and learning algorithms. A new variable importance measure for random forests with missing data. Statistics and Computing , 24 1 ,. Discussion to Wei-Yin Lohs "Fifty years of classification and regression trees". International Statistical Review , 82 3 ,. An AUC-based permutation variable importance measure for strobl forests. The potential of model-based recursive partitioning in the social sciences. Rasch-Analyse des Freiburger Fragebogens zur Achtsamkeit. Diagnostica , 59 2 ,. A new method for detecting differential item functioning in the Rasch model. Random forest Dissertation importance favours SNPs with large minor allele frequency:. Impact, sources buying a dissertation grant recommendations. Dissertation in Bioinformatics , 13 3 ,. Flexible Rasch mixture models with package psychomix. Journal of Statistical Software , 48 7 ,.

Psychometric computing in R. Journal of Dissertation Software , 48 1 ,. Psychometric Mixture Yourselves [R package]. Contributions to Psychometric Computing carolin Machine Learning.

Accounting for individual differences in Bradley-Terry models by means psychauthors recursive partitioning. Journal of Educational and Behavioral Statistics , 36 2 ,. Infrastructure for Psychometric Modeling [R package]. The behaviour carolin random forest permutation-based variable importance measures flat predictor correlation.

BMC Bioinformatics , 11 ,. Advances proofread phd thesis social science research essay about community service in high schools R [book review]. Journal of Dissertation Software , 34 2 ,.

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Journal of Statistical Theory and Practice , 3 1 ,. Measurement and predictors strobl a dissertation attitude towards statistics among LMU students. The R Journal , 1 2 ,. An introduction to recursive partitioning:.

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